Manual DCA is based on a fixed schedule. BFM Business replaces this approach with entry points calculated continuously, from predictive models trained on real-time market flows.
Three sequential steps transform a market flow into an executed purchasing decision, without manual intervention.
Continuous aggregation of prices, volumes and market depth on tracked assets, with no reporting latency.
The data is processed by statistical models which identify price zones that are statistically favorable for buying.
The order is triggered as soon as the conditions of the model are met, within the risk parameters defined in advance.
Three concrete levers distinguish a programmed accumulation from an optimized accumulation.
Purchases are distributed according to the observed volatility structure, rather than over fixed market-indifferent intervals.
Each run is continuously compared to a set of pricing scenarios to reduce the average acquisition cost.
The purchase decision follows a rule set in advance: no correction is applied under the effect of market sentiment.
The BFM Business dashboard displays positions, active thresholds and execution history on a single screen. The complexity of the calculations remains invisible; only the decisions remain your responsibility.
The same decision infrastructure applies to three usage profiles, with distinct parameters.
The market feeds used by the predictive engine come from the same sources as those used by professional desks, with a granularity compatible with tailor-made strategies.
A particular trader defines a budget and a risk level; the system manages the frequency and amount of each purchase without requiring permanent market monitoring.
For a long accumulation strategy, the model parameters evolve with the size of the portfolio, without requiring manual reconfiguration at each level.
Factual answers on data security, execution speed, and model logic.
Exchange connection credentials are encrypted and stored separately from the market data processed by the model. No access key is visible in the interface after configuration.
The time between detecting a purchase condition and sending the order depends on the network latency of the exchange concerned; internal signal processing takes place in a few hundred milliseconds.
The model combines indicators of volatility, volume and historical price structure to estimate the likelihood that a price level will be a favorable entry point, without predicting a future absolute value.
Configure your risk settings and let the template manage the purchasing schedule. Setting up takes a few minutes.
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